Artificial Intelligence Medical Compendium

OBJECTIVES: Major advancements have been made in applying artificial intelligence and computer vision to analyze videolaryngoscopy data. These models are limited to post hoc analysis and are aimed at research settings. In this work, we assess the fea... read more 

BACKGROUND: Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previous brain connectome studies have primarily relied on node-centric approaches, neglecting critical e... read more 

Liquid chromatography-mass spectrometry is an evolving tool for comprehensive proteomic analyses across tissues. Despite the widespread use of liquid chromatography-mass spectrometry in dermatology, full-thickness human skin remains challenging to an... read more 

Fundus tessellation (FT)-also referred to as tigroid or mosaic fundus-is characterized by increased visibility of underlying choroidal vessels. While often a physiological finding, FT may also signal early pathology in conditions such as high myopia,... read more 

This research proposes an advanced technique to manipulating milk flow and its thermal characteristics through a dynamic electromagnetic pathway, effectively managing the non-linear thermal behavior of milk. This study employs advanced artificial int... read more 

Artificial intelligence, particularly machine learning (ML), has great potential in improving patient outcomes through clinical decision support systems. ML has the capability to revolutionize patient care by improving diagnostics, treatment personal... read more 

OBJECTIVE: Infectious diseases controlling system is indispensable for weaken the damage to the people's life and property security caused by infectious diseases. An effective infectious diseases controlling system must incorporate an early warning m... read more 

BACKGROUND: Length of stay (LOS) is a substantial driver of costs following primary total knee arthroplasty (TKA), leading to increased efforts targeting same-day discharge (SDD). However, patient selection for SDD TKA remains a challenge, with 7 to ... read more 

Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in the nucleophosmin-1 (NPM1) gene identified as the most prevalent and clinically significant molecular biomarkers. These mutations play a crucial pivotal... read more 

BACKGROUND AND AIMS: Developing metabolomic signatures of diets is a promising strategy to better understand the diet-health paradigm. Our objective was to develop and validate machine learning (ML) models that predict the consumption of a Mediterran... read more